Data Engineer – Databricks, Data Lake & Modern Analytic

What were looking for Data Engineer – Databricks, Data Lake & Modern Analytic(Only candidates from Latin America)About usArchie Labs builds smarter software by combining AI and expert human teams. We help companies move from concept to production-ready systems faster using agentic AI, AI-powered product discovery, and strong engineering execution.At Archie Labs, youll work in a people-first environment built around autonomy, ownership, and continuous learning—partnering closely with clients and technical teams to deliver real solutions, not just plans.About the RoleWe are looking for a highly skilled Data Engineer with strong hands-on experience in Databricks to help build a modern analytics architecture from scratch for a strategic client project. This role will be responsible for designing, developing, and optimizing scalable data platforms that support Business Intelligence, advanced analytics, artificial intelligence initiatives, and AI agent-based systems.The ideal candidate has deep expertise in Databricks and modern data architectures, along with experience building enterprise-grade data solutions in cloud environments.ResponsabilitiesDesign and implement modern data architectures using Databricks as the core platform. Build and manage scalable Data Lakes, ETL/ELT pipelines, and data integration processes. Develop solutions for processing large volumes of structured and unstructured data. Design data models optimized for analytics, BI, and AI-driven applications. Implement data ingestion, transformation, and data quality processes. Optimize performance, scalability, and cost efficiency of Databricks workloads and pipelines. Collaborate with AI/ML teams to enable datasets and pipelines for intelligent agents and AI systems. Define and implement data engineering standards, governance, and best practices. Integrate multiple data sources through APIs, databases, and external systems. Implement monitoring, observability, and automation for data processes. Support BI and analytics teams with reliable and scalable data solutions. Document architectures, pipelines, and technical processes.Required Qualifications8+ years of experience as a Data Engineer. Strong hands-on and production-level experience with Databricks. Proven experience designing and implementing Data Lakes and modern data architectures. Strong expertise in SQL and Python for data engineering. Experience building scalable ETL/ELT pipelines. Solid knowledge of Apache Spark and distributed data processing. Experience handling large-scale datasets. Strong understanding of data modeling for analytics and BI. Experience working in cloud environments. Familiarity with Git, CI/CD, and modern development workflows. Ability to work independently in fast-paced startup environments.UpperIntermediate to Advanced English (B2+ / C1)Only candidates from Latin AmericaTechnology StackDatabricks Apache Spark Python SQL Delta Lake Data Lake / Lakehouse ETL / ELT Pipelines APIs & Integrations Cloud Platforms BI & Analytics Git & CI/CDCompensation & BenefitsContractor ModalityCompensation paid in US dollarsParticipation in innovative, high-impact initiativesPeople-centric culture with autonomy and continuous learning10 days PTOObserve all holidays in your countryOriginally posted on Himalayas